27 AI Embedded Engineers | Over 100 AI Security Certifications | 6 Research Labs based in UK, US, Canada, Switzerland, Malaysia, Singapore | 1 DevSecAI Tracking SaaS Platform

The DevSecAI Platform.

We have built the world’s first AI development security workflow platform - purpose-built to embed security across your AI systems and SDLC. The DevSecAI platform alerts your teams when to conduct critical security actions like threat modelling on new model releases, penetration testing before deployment, or scanning for prompt injection and data poisoning. It provides enterprise-grade templates, frameworks, and AI security maturity assessments aligned to our proprietary DSAIF Framework - all in one central interface. You can integrate your existing scanning tools, track security readiness across products, and access AI discovery insights in real time. Every client is paired with a dedicated embedded DevSecAI engineer to ensure the platform always works effectively across your business.

DevSecAI Services

Roadmap AI Services

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1. AI Security Training Workshops

We upskill your teams in AI Security, with hands-on training workshops and AI attack methodologies. These workshops are interactive and the labs and templates can also be provided to your teams, allowing you to teach and upskill new employees yourself without relying on external parties.

1. AI Security Training Workshops

2. DevSecAI Champions Program

We roll out your AI Security Champions Program - training key individuals across your business to become internal AI Security Champions. Then we hand over the tools, templates, and processes you need to scale and sustain the program long-term.

2. DevSecAI Champions Program

3. Secure AI and ML Lab Platform

The DevSecAI Lab Platform is a secure, low-code environment for testing and deploying machine learning models across the business. Designed for non-technical users, it enables teams to safely validate AI use cases without relying on data or platform teams, while enforcing strong security, RBAC, and compliance guardrails. The platform includes intuitive tooling, training, and templates so organisations can scale AI confidently and securely.

3. Secure AI and ML Lab Platform

4. AI Threat Modelling

We simulate real-world attackers targeting your AI systems - mapping their tactics, goals, and paths of exploitation. Every scenario can be built and tracked within the DevSecAI platform, giving you visibility, control, and confidence.

4. AI Threat Modelling

Our AI Security Labs

We have built 6 internal AI Security labs to research and test the latest AI security tools before deploying to clients.

Our AI Security Labs

We have built 6 AI Security labs to research

and test the latest AI security

tools before deploying to clients.

Our AI Security Labs

We have built 6 internal AI Security labs to research and test the latest AI security tools before deploying to clients.

ML Security Lab

Our ML Security Lab focuses on protecting machine learning models from threats and attacks.

Data AI Security Lab

Our data team secures your data pipeline from ingestion to storage.

Gen AI & Privacy Lab

Our Gen AI and privacy lab uses the lastest Gen AI tools on a daily basis and tests them for security vulnerabilities.

AI Deployment Security Lab

Our AI deployment security lab focuses on securing the tools to run, configure and monitor AI tooling in production environments.

Business Intelligence AI Lab

Our business intelligence security team are experts at securing visualisation dashboards such as Tableau, PowerBI and more.

DevSecOps AI Security Lab

Our DevSecOps team deploys the latest AI security tools within the software development life cycle,
utilising AI to improve alerting.

Embedded Security.

Our unique methodology is through embedding within your teams as AI security experts, leaving you free to focus on building new applications and running your models confidently.

Embedded Security.

Our unique methodology is through embedding within your teams as AI security experts, leaving you free to focus on building new applications and running your models confidently.

Services

Our AI Security Engagement Process

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Embed & Assess

A project scoping call will define delivery criteria and assessment scope of your AI services, key stakeholders and teams. We will initially embed DevSecAI engineers within your teams to ensure delivery success and provide business context. They will use the DevSecAI Platform to map your AI assets and security maturity.

Principle Delivery

Depending on the scope of the assessment our DevSecAI principle services will be delivered first using our DevSecAI Framework. This will ensure we prioritise the change required to reduce AI risk.

Implement Change

Options for implementing change to improve maturity and reduce AI risks will be presented following principle delivery. Implementation can be led or supported by our engineers: from putting in place automated ML attack detection tools to rolling out DevSecAI champion programs.

Continued DevSecAI Support

A DevSecAI Engineer will remain as your AI security partner, providing access to the DevSecAI Platform, latest tooling and updates from our labs and continuing embedding to ensure AI risks are mitigated as early as possible - this model can scale as required.

Services

Our AI Security Engagement Process

Learn More

Embed & Assess

Principle Delivery

Depending on the scope of the assessment our DevSecAI principle services will be delivered first using our DevSecAI Framework. This will ensure we prioritise the change required to reduce AI risk.

Implement Change

Continued DevSecAI Support

The DevSecAI Framework (DSAIF)

AI Security isn't just about your models—it's a full ecosystem. Our framework ensures security is embedded at every stage of your AI journey through the AI Development Life Cycle.

Discover - Identify your organisation’s AI usage: from tooling and model

versions to access, configuration, and deployments. Visibility is the first

control.

Discover - Identify your organisation’s AI usage: from tooling

and model versions to access, configuration, and deployments.

Visibility is the first control.

Survey - By assessing risks, tools and use cases, teams must be trained to

challenge AI behaviour, outputs, and configurations.

Survey - By assessing risks, tools and use cases, teams must

be trained to challenge AI behaviour, outputs,

and configurations.

Automate - Implement automated defences against model poisoning,

prompt injection, and unsafe LLM usage - tailored to your organisation’s

tooling.

Automate - Implement automated defences against model

poisoning, prompt injection, and unsafe LLM usage

- tailored to your organisation’s tooling.

Improve - Continuously improve security controls and upskill teams

through a security-first AI culture.

Improve - Continuously improve security controls and upskill

teams through a security-first AI culture.

Forecast - Staying ahead of the ever-evolving threat landscape

to promote future AI innovation.

Get in Touch

With over 100 cyber security and AI certifications between our DevSecAI Engineers, we are unmatched experts in securing AI systems globally. We provide our clients with a global AI Security response, with offices in the UK, Switzerland, US, Canada, Singapore and Malaysia.

info@devsecai.io

Office

King's Tower, Chelsea, London SW6 2FZ